Research Methods in Rehabilitation
A.Y. 2019/2020
Learning objectives
The course is aimed at providing students with knowledge about:
- medical ethics, in order to develop critical thinking and discussion skills on moral, legal and ethical issues related to health professions;
- theories and statistical-psychometric methods for the assessment of behaviors, perceptions, and attitudes;
- the use of computer and technological tools to support the work of rehabilitation professionals and the quality of life of persons with disability;
- research planning and implementation in the rehabilitation domain, taking into account its methodological peculiarities (variable definition, experimental design, statistics) and specific bioethical implications;
- general pathology in order to understand and describe inflammation and cancer as the two main causes of human diseases:
- techniques for the molecular investigation of the above described pathologies;
- programs and models for addressing cancer diseases
- medical ethics, in order to develop critical thinking and discussion skills on moral, legal and ethical issues related to health professions;
- theories and statistical-psychometric methods for the assessment of behaviors, perceptions, and attitudes;
- the use of computer and technological tools to support the work of rehabilitation professionals and the quality of life of persons with disability;
- research planning and implementation in the rehabilitation domain, taking into account its methodological peculiarities (variable definition, experimental design, statistics) and specific bioethical implications;
- general pathology in order to understand and describe inflammation and cancer as the two main causes of human diseases:
- techniques for the molecular investigation of the above described pathologies;
- programs and models for addressing cancer diseases
Expected learning outcomes
At the end of the course, the student will be able to:
- use computer, epidemiological and statistical methods and tools, as well as apply them to the organization of rehabilitation services, by assessing their appropriateness, effectiveness and efficiency
- plan and conduct research in the rehabilitation field, taking into account its methodological peculiarities (variable definition, experimental design, statistics) and specific bioethical implications
- use computer, epidemiological and statistical methods and tools, as well as apply them to the organization of rehabilitation services, by assessing their appropriateness, effectiveness and efficiency
- plan and conduct research in the rehabilitation field, taking into account its methodological peculiarities (variable definition, experimental design, statistics) and specific bioethical implications
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Prerequisites for admission
No prior knowledge required
Assessment methods and Criteria
The teaching consists of frontal classroom lessons, scheduled according to a timetable published on the ARIEL website of the course of study
Filosofia morale
Course syllabus
Part 1: Ethics
- Philosophical ethics and role ethics
- content and function of ethical codes in the health professions.
Part 2 - Medical bioethics
- Health rights, informed consent
- role of Ethics Committees as concerns healthcare treatments and biomedical research
- Philosophical ethics and role ethics
- content and function of ethical codes in the health professions.
Part 2 - Medical bioethics
- Health rights, informed consent
- role of Ethics Committees as concerns healthcare treatments and biomedical research
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable published on the ARIEL website of the course of study
Teaching Resources
-C. Del Bò, Tourism Ethics, Carocci, 2017, limited to Chapter 2.
- material provided in class
- material provided in class
Psicometria
Course syllabus
- Cumulative questionnaires: typical structures.
Visual analogues and mono-item questionnaires (numeric rating Scales); Multi-item scales like likert and Scales rating; Examples taken
from current clinical and experimental practice; Different methods of administration.
- Main epistemological problems:
Latent and fully observable variables; "reflective" and"training"; Causal or co-variation relationship between latent variables and observed
behaviours; Difference between evaluation (multidimensional decision-making) and true measure (one-dimensional process)
- Ideal properties of the measure: Unidimensionality; Discrimination (linearity, precision, targeting-accuracy, floor-to-ceiling effect);
Estimation of missing scores; Not redundancy (cancellation of "Jackpot"); Invariance across sub-groups (including intra-inter-observer
repeated measures); Possibility of correction according to the severity of the examiner
- The concept of the"validity"of the measure.
- Scores and measurements. Distortions induced by raw scores (raw scores).
- From counting to true measurements: from traditional test theory to modern item response theory:
Observed scores (Observed-raw scores) and scores expected from the theoretical model (expected scores); difference between expected
and Observed scores: "residual" and data-model fit; maximum likelihood estimation: maximum does not mean great; Georg Rasch's
original dichotomic model: prescriptive, non-descriptive Rasch-derivative models: scale rating (Andrich model), partial-credit (Masters
model) and many-facets
- Solutions offered by Rasch models: Linearity; Single response error estimates; internal coherence estimates in response profiles; LAPMER
scale; missing values estimates; data-model fit; stability of item challenge hierarchy among subgroups; differential item functioning and
differential test functioning correction through item-split
In particular: solution to the problem of translation across different linguistic contexts (metric vs linguistic equivalence). McGill Pain
Disability Questionnaire and BACKILL scale; Multiple examiners mis-fit: FISM-ProQual™ for research projects evaluation
- Examples of frequently used scales with limited validity
- Example of scale construction (ABILHAND) based on Rasch criteria
- Video Examples of manual performances; comparison between visual evaluation of abilities and measurement through ABILHAND
- Use of nomograms to graphically convert scores of linear measures; missing values; software freeware MINISTEP™.
- Evaluation profiles through scales; example with upper limb functioning
- Behavioral measures based on instrumental measures of performance (e.g.strength; balance): advantages and limits vs
questionnaires. Subjectivity and objectivity in psychometric or behavioral measures
Visual analogues and mono-item questionnaires (numeric rating Scales); Multi-item scales like likert and Scales rating; Examples taken
from current clinical and experimental practice; Different methods of administration.
- Main epistemological problems:
Latent and fully observable variables; "reflective" and"training"; Causal or co-variation relationship between latent variables and observed
behaviours; Difference between evaluation (multidimensional decision-making) and true measure (one-dimensional process)
- Ideal properties of the measure: Unidimensionality; Discrimination (linearity, precision, targeting-accuracy, floor-to-ceiling effect);
Estimation of missing scores; Not redundancy (cancellation of "Jackpot"); Invariance across sub-groups (including intra-inter-observer
repeated measures); Possibility of correction according to the severity of the examiner
- The concept of the"validity"of the measure.
- Scores and measurements. Distortions induced by raw scores (raw scores).
- From counting to true measurements: from traditional test theory to modern item response theory:
Observed scores (Observed-raw scores) and scores expected from the theoretical model (expected scores); difference between expected
and Observed scores: "residual" and data-model fit; maximum likelihood estimation: maximum does not mean great; Georg Rasch's
original dichotomic model: prescriptive, non-descriptive Rasch-derivative models: scale rating (Andrich model), partial-credit (Masters
model) and many-facets
- Solutions offered by Rasch models: Linearity; Single response error estimates; internal coherence estimates in response profiles; LAPMER
scale; missing values estimates; data-model fit; stability of item challenge hierarchy among subgroups; differential item functioning and
differential test functioning correction through item-split
In particular: solution to the problem of translation across different linguistic contexts (metric vs linguistic equivalence). McGill Pain
Disability Questionnaire and BACKILL scale; Multiple examiners mis-fit: FISM-ProQual™ for research projects evaluation
- Examples of frequently used scales with limited validity
- Example of scale construction (ABILHAND) based on Rasch criteria
- Video Examples of manual performances; comparison between visual evaluation of abilities and measurement through ABILHAND
- Use of nomograms to graphically convert scores of linear measures; missing values; software freeware MINISTEP™.
- Evaluation profiles through scales; example with upper limb functioning
- Behavioral measures based on instrumental measures of performance (e.g.strength; balance): advantages and limits vs
questionnaires. Subjectivity and objectivity in psychometric or behavioral measures
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable published on the ARIEL website of the course of study
Teaching Resources
- Nunnally J.C, Bernstein I. Psychometric theory. Mcgraw hill, New York, 3rd edition 1994
- Bond T, Fox C,M. Applying the rasch model. Routledge publisher,Oxford, 3rd edition 2015
- Penta M, Arnould C, Decruynaère C. Analisi di Rasch e questionari di misura. Trad it a cura di L.Tesio: Springer Italia, 2008
- Tesio L. Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. J Rehabil Med 2003; 35:105-115
- Bond T, Fox C,M. Applying the rasch model. Routledge publisher,Oxford, 3rd edition 2015
- Penta M, Arnould C, Decruynaère C. Analisi di Rasch e questionari di misura. Trad it a cura di L.Tesio: Springer Italia, 2008
- Tesio L. Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. J Rehabil Med 2003; 35:105-115
Sistemi di elaborazione delle informazioni
Course syllabus
- Technological tools and equipment that can assess and quantify functional damage: motion analysis, inertial
sensors, sensor prostheses; Robotics and virtual reality in rehabilitation; Skeletal muscle modelling: simulation of
movement based on data collected by the patient.
- Planning of functional surgery, applications of neuromuscular electrical stimulation
The system of European research organisation in rehabilitation.
sensors, sensor prostheses; Robotics and virtual reality in rehabilitation; Skeletal muscle modelling: simulation of
movement based on data collected by the patient.
- Planning of functional surgery, applications of neuromuscular electrical stimulation
The system of European research organisation in rehabilitation.
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable published on the ARIEL website of the course of study
Teaching Resources
Slides and learning material provided by the teacher
Patologia generale
Course syllabus
Natural immunity response
- Natural immunity cells
- Cell modifications during the response of natural immunity: Cellular activation (prr, nfkb and its adjustment);
Macrophage activation (m1, m2)
- Vascular changes during natural immunity: Vasodilation; Increased permeability
- Leucocitary recruitment: Membership (molecules involved)
ChemotaxIs
- Mediators
- Chronic inflammatory response
- Adenosine; Functions of adenosine
Tumors
- Benign tumor and malignant tumor; Genes involved in the genesis of cancer; Molecular bases of oncology;
Characteristics of the cancer cell: neoplastic progression; Angiogenesis; TranscriptIon Factor hypoxia
inducible factor 1: adjustment
- Techniques described: Cell cultures; Western blot, qualitative and quantitative analysis of protein
- Natural immunity cells
- Cell modifications during the response of natural immunity: Cellular activation (prr, nfkb and its adjustment);
Macrophage activation (m1, m2)
- Vascular changes during natural immunity: Vasodilation; Increased permeability
- Leucocitary recruitment: Membership (molecules involved)
ChemotaxIs
- Mediators
- Chronic inflammatory response
- Adenosine; Functions of adenosine
Tumors
- Benign tumor and malignant tumor; Genes involved in the genesis of cancer; Molecular bases of oncology;
Characteristics of the cancer cell: neoplastic progression; Angiogenesis; TranscriptIon Factor hypoxia
inducible factor 1: adjustment
- Techniques described: Cell cultures; Western blot, qualitative and quantitative analysis of protein
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable published on the ARIEL website of the course of study
Teaching Resources
Pontieri, Elementi di patologia generale. Per i corsi di laurea in professioni sanitarie. Piccin, 2018
Rubin, Reisner, Rizzuto, Ausoni, Patologia generale: l'essenziale. Piccin 2015
Cairo, Recalcati, Tacchini, Quick review: patologia. Edises 2011
Rubin, Reisner, Rizzuto, Ausoni, Patologia generale: l'essenziale. Piccin 2015
Cairo, Recalcati, Tacchini, Quick review: patologia. Edises 2011
Oncologia
Course syllabus
- Basic principles of scientific research (hypothesis, experimental phase, discussion of results)
- Overview of epidemiology, risk factors and nomenclature of cancer pathology
- Overview of the diagnostic procedure of cancer pathology, screening tests and new diagnostic and screening methodologies
-Clinical studies and their value, observational/experimental, cohort studies, case-control studies, randomized studies
-Phase I studies in oncology: goals, methods, interpretation of results
-Phase II studies in oncology: goals, methods, interpretation of results
-Phase III studies in oncology: objectives, methods, interpretation of results
- Phase IV studies
- Study with historical controls, limits and applicability
- Studies of non-inferiority
- Metanalysis, limits and applicability
-Planning a clinical trial (inclusion/exclusion criteria, informed consent, ethics committee)
-The impact on the clinical practice of studies in oncology
- Overview of epidemiology, risk factors and nomenclature of cancer pathology
- Overview of the diagnostic procedure of cancer pathology, screening tests and new diagnostic and screening methodologies
-Clinical studies and their value, observational/experimental, cohort studies, case-control studies, randomized studies
-Phase I studies in oncology: goals, methods, interpretation of results
-Phase II studies in oncology: goals, methods, interpretation of results
-Phase III studies in oncology: objectives, methods, interpretation of results
- Phase IV studies
- Study with historical controls, limits and applicability
- Studies of non-inferiority
- Metanalysis, limits and applicability
-Planning a clinical trial (inclusion/exclusion criteria, informed consent, ethics committee)
-The impact on the clinical practice of studies in oncology
Teaching methods
The teaching consists of frontal classroom lessons, scheduled according to a timetable published on the ARIEL website of the course of study
Teaching Resources
Texts and in-depth learning materials will be indicated by the teacher during the lessons
Filosofia morale
M-FIL/03 - MORAL PHILOSOPHY - University credits: 1
Lessons: 8 hours
Professor:
Poggi Francesca
Shifts:
-
Professor:
Poggi Francesca
Oncologia
MED/06 - MEDICAL ONCOLOGY - University credits: 1
Lessons: 8 hours
Professor:
Guidetti Anna
Shifts:
-
Professor:
Guidetti Anna
Patologia generale
MED/04 - EXPERIMENTAL MEDICINE AND PATHOPHYSIOLOGY - University credits: 1
Lessons: 8 hours
Professor:
Tacchini Lorenza
Shifts:
-
Professor:
Tacchini Lorenza
Psicometria
M-PSI/03 - PSYCHOMETRICS - University credits: 2
Lessons: 16 hours
Professor:
Negri Luca
Shifts:
-
Professor:
Negri Luca
Sistemi di elaborazione delle informazioni
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 1
Lessons: 8 hours
Professor:
Frigo Carlo Albino
Shifts:
-
Professor:
Frigo Carlo AlbinoProfessor(s)